Prediction with missing data via Bayesian Additive Regression Trees

DOI10.1002/cjs.11248zbMath1328.62243arXiv1306.0618OpenAlexW2962723792MaRDI QIDQ5256379

Justin Bleich, Adam Kapelner

Publication date: 22 June 2015

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1306.0618

zbMATH Keywords

BARTmissing dataBayesianstatistical learningtree-based learning

Mathematics Subject Classification ID

Related Items (15)

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Uses Software

• R
• rpart
• BayesTree
• randomForest
• missForest
• BartPy

Cites Work

• BART: Bayesian additive regression trees
• Variable selection for BART: an application to gene regulation
• Statistical modeling: The two cultures. (With comments and a rejoinder).
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Pattern-Mixture Models for Multivariate Incomplete Data
• Bayesian Analysis of Binary and Polychotomous Response Data
• Monte Carlo sampling methods using Markov chains and their applications
• Random forests
• Stochastic gradient boosting.
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